TY - JOUR
T1 - Dark-age reionization and galaxy formation simulation - XIX. Predictions of infrared excess and cosmic star formation rate density from UV observations
AU - Qiu, Yisheng
AU - Mutch, Simon J.
AU - da Cunha, Elisabete
AU - Poole, Gregory B.
AU - Stuart Wyithe, J. B.
N1 - Publisher Copyright:
© 2019 Oxford University Press. All rights reserved.
PY - 2019/10/11
Y1 - 2019/10/11
N2 - We present a new analysis of high-redshift UV observations using a semi-analytic galaxy formation model, and provide self-consistent predictions of the infrared excess (IRX)-β relations and cosmic star formation rate density. We combine the Charlot & Fall dust attenuation model with the MERAXES semi-analytic model, and explore three different parametrizations for the dust optical depths, linked to star formation rate, dust-to-gas ratio, and gas column density, respectively. A Bayesian approach is employed to statistically calibrate model-free parameters including star formation efficiency, mass loading factor, dust optical depths, and reddening slope directly against UV luminosity functions and colour-magnitude relations at z ∼ 4-7. The best-fitting models show excellent agreement with the observations. We calculate IRX using energy balance arguments and find that the large intrinsic scatter in the IRX-β plane correlates with specific star formation rate. Additionally, the difference among the three dust models suggests at least a factor of 2 systematic uncertainty in the dust-corrected star formation rate when using the Meurer IRX-β relation at z ≿ 4.
AB - We present a new analysis of high-redshift UV observations using a semi-analytic galaxy formation model, and provide self-consistent predictions of the infrared excess (IRX)-β relations and cosmic star formation rate density. We combine the Charlot & Fall dust attenuation model with the MERAXES semi-analytic model, and explore three different parametrizations for the dust optical depths, linked to star formation rate, dust-to-gas ratio, and gas column density, respectively. A Bayesian approach is employed to statistically calibrate model-free parameters including star formation efficiency, mass loading factor, dust optical depths, and reddening slope directly against UV luminosity functions and colour-magnitude relations at z ∼ 4-7. The best-fitting models show excellent agreement with the observations. We calculate IRX using energy balance arguments and find that the large intrinsic scatter in the IRX-β plane correlates with specific star formation rate. Additionally, the difference among the three dust models suggests at least a factor of 2 systematic uncertainty in the dust-corrected star formation rate when using the Meurer IRX-β relation at z ≿ 4.
KW - Dust
KW - Extinction
KW - Galaxies: evolution
KW - Galaxies: high-redshift
KW - Methods: statistical
UR - http://www.scopus.com/inward/record.url?scp=85077340758&partnerID=8YFLogxK
U2 - 10.1093/mnras/stz2233
DO - 10.1093/mnras/stz2233
M3 - Article
SN - 0035-8711
VL - 489
SP - 1357
EP - 1372
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 1
ER -